Philip A. Hipskind

3.1k citations
41 papers · 2.2k indexed · h-index 23
Topics
Neuropeptides and Animal Physiology (12 papers)Receptor Mechanisms and Signaling (12 papers)Tuberculosis Research and Epidemiology (11 papers)
Partner nations
United StatesIndiaItaly

In The Last Decade

Philip A. Hipskind

41 papers receiving 2.1k citations

Peers

Philip A. Hipskind
Comparison fields: 5 of 107
  • Molecular Biology 913
  • Organic Chemistry 694
  • Cellular and Molecular Neuroscience 617
  • Infectious Diseases 301
  • Behavioral Neuroscience 241
Replace Su‐Ying Wu with:
Su‐Ying Wu Taiwan
Marcin Kołaczkowski Poland
Michael B. Bolger United States
Prem N. Yadav United States
Theodora Calogeropoulou Greece
Federica Vacondio Italy
Agata Siwek Poland
Gianfranco Balboni Italy
Rahul Deshmukh India
Philip A. Hipskind relative to Su‐Ying Wu Taiwan Su‐Ying Wu's profile →
Citations per field
00.5×4.4×
Su‐Ying Wu · 1×
Citations per year

Countries citing papers authored by Philip A. Hipskind

Since Specialization
Citations

This map shows the geographic impact of Philip A. Hipskind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip A. Hipskind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip A. Hipskind more than expected).

Fields of papers citing papers by Philip A. Hipskind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Hipskind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip A. Hipskind. The network helps show where Philip A. Hipskind may publish in the future.

Co-authorship network of co-authors of Philip A. Hipskind

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Hipskind. A scholar is included among the top collaborators of Philip A. Hipskind based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip A. Hipskind. Philip A. Hipskind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 16
3 25
4 44
5 50
6 26
7
Bioorganic & Medicinal Chemistry 22 (2014) 6965–6979
24
8 36
9 17
10 194
11 260
12 32
13 33
14 190
15 11
16 82
17 14
18 12
19 13
20 6

About Philip A. Hipskind

Philip A. Hipskind is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (12 papers) and Tuberculosis Research and Epidemiology (11 papers). The work is most often cited by research in Behavioral Neuroscience (241 citations), Biological Psychiatry (86 citations) and Cellular and Molecular Neuroscience (617 citations). Philip A. Hipskind has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Donald R. Gehlert, Magnus Berglund, Markus Heilig, Michal Vieth, Christina S. Barr, Roberto Rimondini, Wolfgang H. Sommer, Anita C. Hansson, Marvin J. Miller and Garrett C. Moraski. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Biochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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